Wooldridge Source: Collected by Professor Leslie Papke, an economics professor at MSU, from the Michigan Department of Education web site, www.michigan.gov/mde, and the U.S. Census Bureau. Professor Papke kindly provided the data. Data loads lazily.

data('meapsingle')

Format

A data.frame with 229 observations on 18 variables:

  • dcode: district code

  • bcode: building code

  • math4: percent satisfactory, 4th grade math

  • read4: percent satisfactory, 4th grade reading

  • enroll: school enrollment

  • exppp: expenditures per pupil, $

  • free: percent eligible, free lunch

  • reduced: percent eligible, reduced lunch

  • lunch: free + reduced

  • medinc: zipcode median family, $ (1999)

  • totchild: # of children (in zipcode)

  • married: # of children in married-couple families

  • single: # of children not in married-couple families

  • pctsgle: percent of children not in married-couple families

  • zipcode: school zipcode

  • lenroll: log(enroll)

  • lexppp: log(exppp)

  • lmedinc: log(medinc)

Used in Text

100, 145-146, 198

Examples

 str(meapsingle)
#> 'data.frame':	229 obs. of  18 variables:
#>  $ dcode   : int  63010 63010 63270 63270 63010 63010 63010 63130 63130 63130 ...
#>  $ bcode   : int  3030 3133 2023 2978 316 5670 1494 1631 1753 2254 ...
#>  $ math4   : num  92.8 100 72.1 76.1 95.2 88.6 95.2 66.7 83.9 95.7 ...
#>  $ read4   : num  82.5 94.3 46.5 65.7 80.6 72.7 90.5 46.3 44.6 56.5 ...
#>  $ enroll  : int  607 370 220 356 329 331 288 452 428 238 ...
#>  $ exppp   : num  6620 6620 5608 5830 6620 ...
#>  $ free    : num  1 0 5.9 8.1 0.3 1.2 12.2 50.2 40.2 24.4 ...
#>  $ reduced : num  0.7 0 5 2.8 0.3 0.9 5.2 17.5 10 17.6 ...
#>  $ lunch   : num  1.7 0 10.9 10.9 0.6 2.1 17.4 67.7 50.2 42 ...
#>  $ medinc  : int  110322 110322 65119 65119 109313 109313 109313 43750 43750 43750 ...
#>  $ totchild: int  4076 4076 2524 2524 3486 3486 3486 4651 4651 4651 ...
#>  $ married : int  3542 3542 2091 2091 3241 3241 3241 3258 3258 3258 ...
#>  $ single  : int  534 534 433 433 245 245 245 1393 1393 1393 ...
#>  $ pctsgle : num  13.1 13.1 17.16 17.16 7.03 ...
#>  $ zipcode : int  48009 48009 48017 48017 48025 48025 48025 48030 48030 48030 ...
#>  $ lenroll : num  6.41 5.91 5.39 5.87 5.8 ...
#>  $ lexppp  : num  8.8 8.8 8.63 8.67 8.8 ...
#>  $ lmedinc : num  11.6 11.6 11.1 11.1 11.6 ...